
AWS Data Engineer
3 weeks ago
Location: Remote (India)
Experience: 3+ Years
Employment Type: Full-Time
About the Role:
We are seeking a talented AWS Data Engineer with at least 3 years of hands-on experience in building and
managing data pipelines using AWS services. This role involves working with large-scale data, integrating
multiple data sources (including sensor/IoT data), and enabling efficient, secure, and analytics-ready solutions.
Experience in the energy industry or working with time-series/sensor data is a strong plus.
Key Responsibilities:
• Build and maintain scalable ETL/ELT data pipelines using AWS Glue, Redshift, Lambda, EMR, S3,
and Athena
• Process and integrate structured and unstructured data, including sensor/IoT and real-time streams
• Optimize pipeline performance and ensure reliability and fault tolerance
• Collaborate with cross-functional teams including data scientists and analysts
• Perform data transformations using Python, Pandas, and SQL
• Maintain data integrity, quality, and security across the platform
• Use Terraform and CI/CD tools (e.g., Azure DevOps) for infrastructure and deployment automation
• Support and monitor pipeline workflows, troubleshoot issues, and implement fixes
• Contribute to the adoption of emerging tools like AWS Bedrock, Textract, Rekognition, and GenAI
solutions
Required Skills and Qualifications:
• Bachelor's or Master's degree in Computer Science, Information Technology, or related field
• 3+ years of experience in data engineering using AWS
• Strong skills in:
o AWS Glue, Redshift, S3, Lambda, EMR, Athena
o Python, Pandas, SQL
o RDS, Postgres, SAP HANA
• Solid understanding of data modeling, warehousing, and pipeline orchestration
• Experience with version control (Git) and infrastructure as code (Terraform)
Preferred Skills:
• Experience working with energy sector data or IoT/sensor-based data
• Exposure to machine learning tools and frameworks (e.g., SageMaker, TensorFlow, Scikit-learn)
• Familiarity with big data technologies like Apache Spark, Kafka
• Experience with data visualization tools (Tableau, Power BI, AWS QuickSight)
• Awareness of data governance and catalog tools such as AWS Data Quality, Collibra, and AWS
Databrew
• AWS Certifications (Data Analytics, Solutions Architect)
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